Translation
Transformers
PyTorch
TensorFlow
English
Turkish
marian
text2text-generation
opus-mt-tc
Eval Results (legacy)
Instructions to use Helsinki-NLP/opus-mt-tc-big-en-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-tc-big-en-tr with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-tc-big-en-tr")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-tc-big-en-tr") model = AutoModelForMultimodalLM.from_pretrained("Helsinki-NLP/opus-mt-tc-big-en-tr") - Inference
- Notebooks
- Google Colab
- Kaggle
| eng-tur flores101-dev 0.63989 32.3 997 19181 | |
| eng-tur flores101-devtest 0.62829 31.4 1012 20253 | |
| eng-tur newsdev2016 0.58947 21.9 1001 15958 | |
| eng-tur newstest2016 0.57624 23.4 3000 50782 | |
| eng-tur newstest2017 0.58858 25.4 3007 51977 | |
| eng-tur newstest2018 0.57848 22.6 3000 53731 | |
| eng-tur tatoeba-test-v2020-07-28 0.70571 44.0 10000 60469 | |
| eng-tur tatoeba-test-v2021-03-30 0.69671 43.1 11731 71116 | |
| eng-tur tatoeba-test-v2021-08-07 0.68726 42.3 13907 84364 | |